Predictive Analytics

Commit to a board number you can actually defend.
Revenue Forecasting Coworker

You present a number to the board. Then you spend the next 90 days hoping it's right. When it's not, the explanation is always "the deals were there, they just slipped."

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The problem

Your revenue forecast swings ±40% every quarter.

You present a number to the board. Then you spend the next 90 days hoping it's right. When it's not, the explanation is always "the deals were there, they just slipped."

Pipeline-based forecasting is inherently unreliable

Summing pipeline value by close date assumes reps are honest about timing, stage, and probability. They're not — they're optimistic, and they update late. Your forecast is inflated by default.

You're making investment decisions on bad data

Hiring plans, marketing budgets, and product investment all depend on revenue confidence. When your forecast is off by 30–40%, every downstream decision is built on a shaky foundation.

Board-ready reporting takes all week to prepare

Pulling together a forecast narrative means exporting from CRM, building the model in a spreadsheet, writing the commentary, and formatting a slide — every single month.

How it works

Four data sources. One confidence-weighted forecast.

Pipeline ingestion

Live pipeline data from your CRM, filtered by deal velocity scores from the Pipeline Intelligence module to remove stale and unlikely-to-close deals from the base.

Historical close rate modeling

The coworker builds a close rate model from your last 12–24 months of deal data — by deal size, stage, source, rep, and company type. This model adjusts your pipeline-based forecast against what actually happens.

Seasonal and trend adjustment

Revenue patterns — Q4 budget cycles, summer slowdowns, January resets — are factored in automatically. Your forecast reflects the reality of your business, not just what's in the funnel.

Board-ready outputs

Monthly forecast reports, variance analysis vs. prior periods, and executive narrative are generated automatically. Your board update takes 20 minutes instead of two days.

Business impact

What predictable revenue is actually worth.

±10%

forecast variance vs. ±40% without it

Confidence-weighted forecasting using historical close rates dramatically reduces the gap between what you predict and what actually closes.

2 days → 20 min

board prep time per month

Auto-generated forecast reports and variance narratives eliminate the manual work of monthly reporting entirely.

Faster hiring

and investment decisions

When you trust your number, you can hire ahead of the curve, invest in marketing with confidence, and stop making risk-averse decisions based on uncertainty.

Commit to a board number you can actually defend.
Revenue Forecasting Coworker

Your revenue forecast swings ±40% every quarter.

Four data sources. One confidence-weighted forecast.

What predictable revenue is actually worth.

Ready to deploy Revenue Forecasting Coworker?

Ten modules. Each one standalone.
Better together.

Commit to a board number you can actually defend.Revenue Forecasting Coworker

Your revenue forecast swings ±40% every quarter.

Four data sources. One confidence-weighted forecast.

What predictable revenue is actually worth.

Ready to deploy Revenue Forecasting Coworker?

Ten modules. Each one standalone.Better together.

Commit to a board number you can actually defend.
Revenue Forecasting Coworker

Ten modules. Each one standalone.
Better together.